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Vilada

City in Barcelona, Spain

Overview

Vilada is a picturesque Catalan village set in the foothills of the Pyrenees, known for its natural beauty, tranquil atmosphere, and welcoming community. With centuries-old stone buildings and easy access to mountain parks, it's ideal for escaping big city hustle.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
443
Time Zone
Europe/Madrid
Coordinates
42.14°, 1.93°

Key Metrics

Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,390
Local Cost
$910
Local Income
$1,300
Cashless
35
English
35
Temperature
12.6°C
Summer Avg
21.7°C
Winter Avg
4.3°C
Record High
37.8°C
Record Low
-10.5°C
Humidity
66%
Precipitation
553 mm
Internet Speed
363 Mbps
Upload
280 Mbps
Latency
4 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
12
Walk Score
12
Footways
23.0
Airport
LEU
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.

Estimates and unverified origins

Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-23.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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